Clinical Product Lead

About Numan

Founded in 2018, we’ve already grown to be a 200+ team distributed across the globe, united by a singular mission: empowering people to take control of their health.

Numan is transforming health: we’ve built a cutting-edge platform that integrates diagnostics, medication, supplements, digital programmes, and doctor consultations. Giving people the tools they need to maximise life.

To deliver on our transformative mission, we are guided by our 5 company values:

• Patients first.

• Learn Fast.

• Own the quality.

• Succeed together.

• Care deeply.

Backed by top-tier investors, Numan is already having a positive impact on hundreds of thousands of patients here in the UK, and we want you to help us deliver this mission!

The role

We’re looking for a Clinical Product Lead (CPL) to join our clinical product team. As a CPL, you’ll bring clinical expertise into the product development process, ensuring that everything we build is grounded in evidence-based medicine, user-centred design, and safe care delivery. You’ll work at the intersection of clinical insight, operations, design, and technology - helping us build the future of proactive, digitally-enabled healthcare.

Depending on your background and interests, your focus might be internal tooling, AI/ML-driven care tools, or condition-specific pathways like obesity care.

• Designing condition-specific patient journeys - from onboarding and triage to prescribing and follow-up - that are safe, evidence-based, and scalable.
• Identifying white space opportunities and unmet clinical needs, assessing the feasibility, safety, and strategic value of new interventions, diagnostics, and service lines.
• Conducting horizon scanning to surface emerging clinical trends, innovative treatments, and digital health technologies that could enhance care delivery or outcomes.
• Acting as the clinical voice within a product squad, leading on pathway design, workflow optimisation, and clinical safety across your area of focus.
• Translating clinical and operational needs into product functionality that improves speed, quality, and outcomes for both patients and clinicians.
• Designing and iterating on clinical workflows within EHR systems, onboarding, triage, and prescribing, ensuring they are efficient, compliant, and patient-centred.
• Developing and maintaining clinical decision support tools that enable safe automation and high-quality, scalable delivery.
• Monitoring and testing AI-driven tools, focusing on improving accuracy, explainability, and safety.
• Collaborating with multidisciplinary teams - including engineering, design, operations, and governance - to ship features and track their impact on care delivery.
• Co-creating internal tooling to support pharmacy, clinical, and operations teams in delivering joined-up, high-quality care.
• Using data and user feedback to measure success, iterate on care pathways, and continuously improve safety, experience, and outcomes.
• Working closely with the Clinical Safety Officer to ensure clinical safety is embedded across the product lifecycle, including risk assessments and required documentation.
• Staying up to date with clinical evidence, regulatory guidance, and relevant technologies - informing the product roadmap and long-term strategy.

• A clinical background and experience in a regulated healthcare environment.
• A systems mindset - able to see beyond isolated features and think in terms of whole care journeys.
• Confidence in turning clinical needs into clear product and operational requirements.
• Strong communication skills - able to collaborate across technical and non-technical teams.
• Experience with clinical safety, risk mitigation, and regulatory compliance in healthcare settings.
• An iterative, pragmatic approach - balancing clinical rigour with pace in dynamic environments.
• Passion for using digital tools to improve care delivery, safety, and outcomes.

• Experience in obesity care, GLP-1 pathways, or digital metabolic health programmes.
• Experience in internal tooling, EHR systems, or clinician-facing infrastructure.
• Experience with AI/ML tools in clinical settings, especially LLMs, RAG, or…